Which of the following four modeling algorithms is least vulnerable to outlier bias? (Select one)A.Linear RegressionB.Naive BayesC.k-NND.GLM
Question
Which of the following four modeling algorithms is least vulnerable to outlier bias? (Select one)A.Linear RegressionB.Naive BayesC.k-NND.GLM
Solution
B. Naive Bayes
This algorithm is least vulnerable to outlier bias because it is based on probabilities. It calculates the probability of each attribute of the data set belonging to each class, and then selects the class with the highest probability. This means that outliers, which are rare by definition, have less impact on the overall model because they represent a small portion of the data and therefore have a small effect on the probabilities.
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